Strategic Data Engineer for Analytics Platform
1 week ago
Key Position:
We seek an accomplished Data Engineering professional to spearhead the development of a data platform for reporting and analytics.
Primary Responsibilities:
- Design and implement scalable data solutions using Databricks, SQL, Python, Spark, and Delta Lake on Azure.
- Implement best practices for ETL/ELT and data quality to ensure seamless data integration.
- Collaborate with teams to integrate data with business intelligence tools like Tableau and Power BI.
- Manage CI/CD pipelines, testing, infrastructure-as-code, and monitoring tools to optimize system performance.
- Mentor junior engineers and foster a culture of innovation within the team.
Requirements:
- A minimum of 8 years of experience in data engineering, including 3+ years in senior roles.
- Expertise in PySpark, Scala, SQL, Python, and Azure, with Databricks experience preferred.
- Experience with Databricks integrations such as Delta Live Tables and Auto Loader is highly beneficial.
- Strong skills in Spark, Pandas, and NumPy are essential.
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